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Hadronic Matter is Soft

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arxiv nucl-th/0506087 v1 pith:ADSFMITC submitted 2005-06-30 nucl-th

classification nucl-th
keywords aroundcollisionsdatadeltadependenceenergyhadronicmatter
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

The stiffness of the hadronic equation of state has been extracted from the production rate of $K^+$ mesons in heavy ion collisions around 1 $A$ GeV incident energy. The data are best described with a compressibility coefficient $\kappa$ around 200 MeV, a value which is usually called ``soft''. This is concluded from a detailed comparison of the results of transport theories with the experimental data using two different procedures: (i) the energy dependence of the ratio of $K^+$ from Au+Au and C+C collisions and (ii) the centrality dependence of the $K^+$ multiplicities. It is demonstrated that input quantities of these transport theories which are not precisely known, like the kaon-nucleon potential, the $\Delta N \to N K^+ \Lambda$ cross section or the life time of the $\Delta$ in matter do not modify this conclusion.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. The influence of nuclear short range correlations on sub-threshold particle production in proton-nucleus collisions

    nucl-th 2025-06 conditional novelty 6.0 of 10

    Short range correlated nucleon pairs can explain enhanced sub-threshold production of strange and charmed hadrons in proton-nucleus collisions, with the SRC tail raising yields by up to 10^3 versus a Fermi gas.

  2. Systematic study of flow of protons and light clusters in intermediate-energy heavy-ion collisions with momentum-dependent potentials

    nucl-th 2024-11 unverdicted novelty 5.0 of 10

    PHQMD simulations with momentum-dependent potentials show that a soft momentum-dependent EoS calibrated to pA data reproduces experimental proton and cluster flows at midrapidity better than static EoS variants, while...

  3. Toward a Unified Understanding of the Dense Matter Equation of State

    nucl-th 2025-11 conditional novelty 2.0 of 10

    A review of three Bayesian/computational frameworks for combining heavy-ion and astrophysical constraints on the dense-matter equation of state, plus a proposed unified integration workflow.

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